MohammadΒ Hasheminejad | Plant disease | Best Researcher Award

DrΒ Β MohammadΒ Hasheminejad |Β Plant disease |Β Best Researcher Award

Assistant Professor atΒ Β University of Jiroft,Β Iran

Dr. Mohammad Hasheminejad is an accomplished Assistant Professor and Electrical Engineer with a Ph.D. in Electronic Engineering-Telecommunication. Born on September 1, 1981, in Iran, he currently holds a faculty position at the University of Jiroft. Dr. Hasheminejad is recognized for his extensive expertise in computer vision and machine learning, particularly in the development of sophisticated systems such as object recognition and face recognition-powered surveillance camera management.

 

Publication Profile:πŸŒŸπŸ‘¨β€πŸŽ“

Education:

High school: Mathematics and Physics, Allame Helli, Kerman, Iran. Bachelor: Biomedical Engineering, Isfahan University, Isfahan, Iran. Masters: Electrical Engineering-Electronic, Malek-Ashtar University of Technology, Tehran, Iran. Ph.D.: Electronic Engineering-Telecommunication, University of Birjand

πŸ’Ό Work Experience:

  • University of Jiroft (Assistant Professor)
    • Conducted multidisciplinary machine learning research with 11 scholarly articles and 7 conference presentations.
    • Developed and taught innovative undergraduate and graduate courses, fostering critical thinking.
    • Collaborated on securing research grants, leading to safety improvements in the electric power distribution industry.
    • Mentored students, guiding them to successful graduate programs and competitive job placements.
  • FajrShahed Company (Biomedical Engineer)
    • Installed and configured medical equipment, ensuring compliance with industry standards.
    • Trained healthcare professionals on equipment use and maintenance, optimizing functionality.
    • Provided technical support, resolving equipment-related issues promptly.
    • Collaborated with interdisciplinary teams to enhance medical equipment solutions.

πŸ”§ Skills:

  • Research: Professional
  • Teaching: Professional
  • Python Programming: Professional
  • Electrical Engineering: Professional

 

Research Focus:

πŸ‘¨β€πŸ”¬ Dr. Mohammad Hasheminejad is a distinguished researcher with a focus on diverse domains within Electrical Engineering and Information Systems. His extensive contributions encompass adaptive ensemble classification for text-independent speaker verification, frame-level sparse representation classification, and sample-specific late classifier fusion for speaker verification. Dr. Hasheminejad’s expertise extends to fast automatic face recognition using GAW-KNN and optimized kernel nonparametric weighted feature extraction for hyperspectral image classification. He has made significant strides in interdisciplinary research, notably in areas such as tomato disease recognition and the emission and transport of dust particles in the Jazmurian region. His work reflects a commitment to advancing knowledge in climatology, image processing, and environmental monitoring. πŸŒπŸ“ŠπŸ”

 

Publications Top Notes:
  1. Sheikh-Hosseini, M., Hasheminejad, M., Rahdari, F. (2023). “Linear precoder design for peak-to-average power ratio reduction of generalized frequency division multiplexing signal using gradient descent methods.” Transactions on Emerging Telecommunications Technologies, 34(2), e4698.
  2. Astani, M., Hasheminejad, M., Vaghefi, M. (2022). “A diverse ensemble classifier for tomato disease recognition.” Computers and Electronics in Agriculture, 198, 107054.
  3. Mesbahzadeh, T., Miglietta, M.M., Sardoo, F.S., Krakauer, N., Hasheminejad, M. (2022). “Regional Analysis of Dust Day Duration in Central Iran.” Applied Sciences (Switzerland), 12(12), 6248.
  4. Hasheminejad, M. (2022). “Optimized kernel Nonparametric Weighted Feature Extraction for Hyperspectral Image Classification.” Journal of Information Systems and Telecommunication, 10(38), pp. 111–119.
  5. Hasheminejad, M., Farsi, H. (2018). “Sample-specific late classifier fusion for speaker verification.” Multimedia Tools and Applications, 77(12), pp. 15273–15289.

 

 

HafizaΒ Farhat | Plant disease | Young Scientist Award

Assist Prof DrΒ HafizaΒ Farhat:Β Plant disease |Β Young Scientist Award

Assistant Professor atΒ Β Gomal University DI Khan kpk Pakistan

Dr. Hafiza Farhat Mutalib is an Assistant Professor at Gomal University, Dera Ismail Khan, Pakistan, specializing in Botany with a focus on Mycology and Plant Pathology. She holds a Ph.D. from the University of Karachi, where she conducted research on antibiotics-producing endophytic fungi associated with healthy plants. Dr. Mutalib has a distinguished academic record, earning a Gold Medal in both her M.Sc. and Ph.D. studies.

 

Publication Profile:πŸŒŸπŸ‘¨β€πŸŽ“

πŸŽ“ Distinctions:

  • Gold medalist in M.Sc.
  • Certificate of Merit for Plant Pathology
  • Recognized reviewer for Journal of Plant Sciences

πŸ‘©β€πŸ« Professional Experience:

Assistant Professor at Gomal University since October 2020. Teaching Assistant at University of Karachi (2016-2019) Holds various roles at Gomal University including Focal Person, Internal Controller, and Warden

πŸ”¬ Research Interests:

Phytopathology, Molecular Mycology, Fungal Diseases Management, Drug Characterization from Microbes, Soil Biology, Plants Microbes’ Interaction, Bacteriology, Mycorrhiza, and Biological Control

πŸ“œ Notable Presentations:

  • Evaluation of antibacterial potential of endophytic fungi at international conferences
  • Poster presentation on efficacy of plant growth-promoting rhizobacteria

Research Focus πŸŒ±πŸ”¬:

Dr. Hafiza Farhat Mutalib’s research primarily focuses on the exploration of endophytic fungi for plant disease management and the enhancement of systemic resistance in crops. Her investigations encompass the GC-MS metabolic profiling of various fungal species, such as Chaetomium sp., Talaromyces assiutensis, Fusarium solani, and Talaromyces trachyspermus. Through publications in journals like Physiological and Molecular Plant Pathology, Current Microbiology, and South African Journal of Botany, she delves into the biological control potential of these fungi and evaluates their antibacterial and antimicrobial properties. Dr. Farhat’s interdisciplinary work contributes valuable insights to phytopathology, molecular mycology, and sustainable agricultural practices.

 

Publications Top Notes: